Programming Neural Networks with Encog3 in Java
by Jeff Heaton
Publisher: Heaton Research 2011
Number of pages: 242
The book introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced.
Home page url
Download or read it online for free here:
by Clifford A. Shaffer - Dover Publications
A comprehensive treatment focusing on the creation of efficient data structures and algorithms, explaining how to select the data structure best suited to specific problems. It uses Java programming language and is suitable for second-year courses.
by Jim Farley - O'Reilly Media
This book is an overview of the tools and techniques that are at your disposal for building distributed computing systems in Java. It is intended to serve as both explanatory and reference material for you, the professional developer.
by Stephen J. Hartley
An introduction to using Java in concurrent or multithreaded applications. Topics covered are race conditions when threads share data, critical sections, mutual exclusion, semaphores, monitors, message passing, the rendezvous, etc.
by Tim Lindholm, Frank Yellin - Prentice Hall PTR
The complete specification for the Java Virtual Machine, the nucleus of the Java language. It is an essential reference for Java Virtual Machine implementors and compiler writers. Numerous practical examples clarify how the JVM operates in practice.